Searching games with errors---fifty years of coping with liars
Theoretical Computer Science
Playing by searching: two strategies against a linearly bounded liar
Theoretical Computer Science
Sorting and searching in the presence of memory faults (without redundancy)
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Rounds vs queries trade-off in noisy computation
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Lower Bounds for the Noisy Broadcast Problem
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Improved algorithms for quantum identification of Boolean oracles
Theoretical Computer Science
The price of resiliency: a case study on sorting with memory faults
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Sorting and Selection with Imprecise Comparisons
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Optimal resilient sorting and searching in the presence of memory faults
Theoretical Computer Science
ACM Transactions on Algorithms (TALG)
Optimal resilient dynamic dictionaries
ESA'07 Proceedings of the 15th annual European conference on Algorithms
How to compress interactive communication
Proceedings of the forty-second ACM symposium on Theory of computing
Finding is as easy as detecting for quantum walks
ICALP'10 Proceedings of the 37th international colloquium conference on Automata, languages and programming
Improving the round complexity of traitor tracing schemes
ACNS'10 Proceedings of the 8th international conference on Applied cryptography and network security
Randomized Shellsort: A Simple Data-Oblivious Sorting Algorithm
Journal of the ACM (JACM)
Large-scale validation and analysis of interleaved search evaluation
ACM Transactions on Information Systems (TOIS)
Designing reliable algorithms in unreliable memories
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Robust quantum algorithms with ε-biased oracles
COCOON'06 Proceedings of the 12th annual international conference on Computing and Combinatorics
Experimental study of resilient algorithms and data structures
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
Data structures resilient to memory faults: an experimental study of dictionaries
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
Reflections for quantum query algorithms
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Optimal resilient sorting and searching in the presence of memory faults
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Robust polynomials and quantum algorithms
STACS'05 Proceedings of the 22nd annual conference on Theoretical Aspects of Computer Science
Resilient algorithms and data structures
CIAC'10 Proceedings of the 7th international conference on Algorithms and Complexity
Max algorithms in crowdsourcing environments
Proceedings of the 21st international conference on World Wide Web
So who won?: dynamic max discovery with the crowd
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Making polynomials robust to noise
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
The K-armed dueling bandits problem
Journal of Computer and System Sciences
Designing reliable algorithms in unreliable memories
Computer Science Review
Hi-index | 0.00 |
This paper studies the depth of noisy decision trees in which each node gives the wrong answer with some constant probability. In the noisy Boolean decision tree model, tight bounds are given on the number of queries to input variables required to compute threshold functions, the parity function and symmetric functions. In the noisy comparison tree model, tight bounds are given on the number of noisy comparisons for searching, sorting, selection and merging. The paper also studies parallel selection and sorting with noisy comparisons, giving tight bounds for several problems.